Object Detection Based on Clustering for Assistive Technology

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Dwi Maryono
Andreas Wegiq Adia Hendix
Subagya
Sukarmin
Dewanto Harjunowibowo

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Lidar is a well-known sensor in autonomous vehicles because of its capability in object detection. However, utilise the sensor in assistive technology for blind and impaired vision person are rare to be found. In this study, an assistive technology (AT) was made utilising Lidar sensor and Clustering algorithm. K-means algorithm and Kalman filter were used to improve the AT performance. Moreover, the AT is equipped with voice mode to inform the user when the closest object was detected. Furthermore, the application of a monitoring system was built based on the Internet of things (IoT). The application installed in android smartphones allows the installer to monitor the AT user and recognise the user's objects remotely. The results show that the AT could accurately detect an object and send the information to the monitoring application system via internet. The AT system is potentially used to help a blind person to mobile safely.

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How to Cite
Maryono, D., Hendix, A. W. A., Subagya, Sukarmin, & Harjunowibowo, D. (2021). Object Detection Based on Clustering for Assistive Technology. Advanced Sustainable Engineering, 1(1), 10-16. Retrieved from https://ukischolarsnetwork.org/index.php/ase/article/view/47
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References

E. Mordini et al., Assistive Technologies for People with Disabilities. Part II: Current and emerging technologies, vol. 2, no. January. 2018.

M. A. Hersh, “Perception, the Eye and Assistive Technology Issues BT - Assistive Technology for Visually Impaired and Blind People,” M. A. Hersh and M. A. Johnson, Eds. London: Springer London, 2008, pp. 51–101.

R. O. Smith et al., “Disability and Rehabilitation?: Assistive Technology Assistive technology products?: a position paper from the first global research , innovation , and education on assistive technology ( GREAT ) summit,” Disabil. Rehabil. Assist. Technol., vol. 13, no. 5, pp. 473–485, 2018.

S. S. Senjam, A. Foster, and C. Bascaran, “Disability and Rehabilitation?: Assistive Technology Barriers to using assistive technology among students with visual disability in schools for the blind in Delhi , India,” Disabil. Rehabil. Assist. Technol., vol. 0, no. 0, pp. 1–5, 2020.

B. Y. T. I. M. Bailey and H. Durrant-whyte, “Simultaneous Localization and Mapping ( SLAM ):,” IEEE Robot. Autom. Mag., vol. 13, no. September, pp. 108–117, 2006.

J. Fuentes-Pacheco, J. Ruiz-Ascencio, and J. M. Rendón-Mancha, “Visual simultaneous localization and mapping: a survey,” Artif. Intell. Rev., vol. 43, no. 1, pp. 55–81, 2015.

C. Cadena et al., “Past , Present , and Future of Simultaneous Localization and Mapping?: Toward the Robust-Perception Age,” IEEE Trans. Robot., vol. 32, no. 6, pp. 1309–1332, 2016.

E. Yurtsever, J. Lambert, A. Carballo, K. Takeda, and S. Member, “A Survey of Autonomous Driving?: Common Practices and Emerging Technologies,” vol. 8, 2020.

A. Joshi, H. Agrawal, and P. Agrawal, “Simultaneous Localization and Mapping for Visually Impaired People for Outdoor Environment,” in Proceedings of the Second International Conference on Computer and Communication Technologies, Advances in Intelligent Systems and Computing 381, 2016, pp. 107–115.

R. Yagfarov, M. Ivanou, and I. Afanasyev, “Map Comparison of Lidar-based 2D SLAM Algorithms Using Precise Ground Truth,” 2018 15th Int. Conf. Control. Autom. Robot. Vision, ICARCV 2018, no. November, pp. 1979–1983, 2018.

X. Zhang, B. Li, S. L. Joseph, J. P. Muñoz, and C. Yi, “A SLAM based Semantic Indoor Navigation System for Visually Impaired Users,” in 2015 IEEE International Conference on Systems, Man, and Cybernetics A, 2015, pp. 1458–1463.

H. T. Nguyen, E. H. Lee, C. H. Bae, and S. Lee, “Multiple object detection based on clustering and deep learning methods,” Sensors (Switzerland), vol. 20, no. 16, pp. 1–14, 2020.

S. S. Senjam, A. Foster, C. Bascaran, and P. Vashist, “Assistive Technology Assistive technology for students with visual disability in schools for the blind in Delhi Assistive technology for students with visual disability in schools for the blind,” Disabil. Rehabil. Assist. Technol., vol. 0, no. 0, pp. 1–7, 2019.

P. Foster, Z. Sun, J. J. Park, and B. Kuipersl, “VisAGGE?: Visible Angle Grid for Glass Environments,” pp. 2213–2220, 2013.

S. Morsy, A. Shaker, and A. El-Rabbany, “Using Multispectral Airborne LiDAR Data for Land/Water Discrimination?: A Case Study at Lake Ontario, Canada,” Appl. Sci., vol. 8, no. 349, pp. 1–21, 2018.

P. J. Rousseeuw, “Silhouettes?: a graphical aid to the interpretation and validation of cluster analysis,” vol. 20, pp. 53–65, 1987.

P. Palanisamy, “praveen-palanisamy/multiple-object-tracking-lidar: Multiple-Object-Tracking-from-Point-Clouds_v1.0.2,” Dec. 2019.